Evaluation for frame interpolation.
To justify the effectiveness of the proposed frame interpolation method, we compare our method with the other two state-of-the-art methods for video frame interpolation, i.e., DAIN [1]} and Super SloMo [2]}. Table REF  reports the results on the test dataset. It can be clearly observed that our method outperforms other approaches in term of RMSE. Though our approach is computationally much more expensive than Super SloMo, we can still deliver the real-time performance (running faster than the frequency of LiDAR sensors, i.e., 10Hz).
